Related skills
bigquery etl sql python gcp📋 Description
- Develop, test, and maintain data pipelines using Python, SQL, and GCP.
- Write and optimize SQL queries in BigQuery for data transformation.
- Design and implement data models within the data warehouse.
- Collaborate with the project team to meet data requirements.
- Troubleshoot data pipelines and ensure data quality.
- Contribute to documentation and follow data engineering best practices.
🎯 Requirements
- Bachelor's degree in CS/IT/Engineering or related field.
- 3-8 years Python for data manipulation and processing.
- Proficiency in SQL for data querying and transformation.
- Hands-on experience with Google Cloud Platform (GCP) including BigQuery and Pub/Sub.
- Knowledge of data warehousing concepts and ETL/ELT processes.
- Git familiarity; Google Cloud certification a plus.
🎁 Benefits
- Tolerant, open culture valuing diversity and inclusivity.
- No forced hierarchy; ample growth opportunities.
- Work on banking and financial services transformation projects.
- Global presence across 32 cities with diverse client work.
- Collaborative environment focused on delivery excellence.
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